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LightGBM-complete_source_code_zip.zip 2023-12-21 175.7 MB
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LightGBM.4.2.0.nupkg 2023-12-21 6.6 MB
lightgbm-4.2.0-r-cran.tar.gz 2023-12-21 1.7 MB
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lightgbmlib_macos.jar 2023-12-21 1.7 MB
lightgbmlib_linux.jar 2023-12-21 2.8 MB
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lightgbm-4.2.0-py3-none-win_amd64.whl 2023-12-21 1.3 MB
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lightgbm-4.2.0-py3-none-manylinux_2_28_x86_64.whl 2023-12-21 3.1 MB
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lib_lightgbm.so 2023-12-21 7.5 MB
lib_lightgbm.dylib 2023-12-21 6.0 MB
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commit.txt 2023-12-21 41 Bytes
README.md 2023-12-21 5.0 kB
v4.2.0 source code.tar.gz 2023-12-21 7.1 MB
v4.2.0 source code.zip 2023-12-21 7.3 MB
Totals: 20 Items   408.7 MB 1

✨ v4.2.0 of the R package is now available on CRAN (link), the first major release of the R package in 2+ years.

✨ The Python package now accepts Apache Arrow Tables and Arrays (thanks @borchero!)

🔧 A critical bug in quantized training support is fixed

Changes

💡 New Features

  • [python-package] Allow to pass Arrow table for prediction @borchero (#6168)
  • [python-package] Allow to pass Arrow table and array as init scores @borchero (#6167)
  • [python-package] Allow to pass Arrow array as groups @borchero (#6166)
  • [python-package] Allow to pass Arrow array as weights @borchero (#6164)
  • [python-package] Accept numpy generators as random_state @david-cortes (#6174)
  • [python-package] Allow to pass Arrow array as labels @borchero (#6163)
  • [python-package] Allow to pass Arrow table as training data @borchero (#6034)

🔨 Breaking

  • [python-package] fix access to Dataset metadata in scikit-learn custom metrics and objectives @jameslamb (#6108)
  • [CUDA] drop CUDA 10 support, start supporting CUDA 12 (fixes [#5789]) @jameslamb (#6099)

🚀 Efficiency Improvement

  • [R-package] Fix inefficiency in retrieving pointers @david-cortes (#6208)
  • [CUDA] CUDA Quantized Training (fixes [#5606]) @shiyu1994 (#5933)

🐛 Bug Fixes

  • fix errors from MSVC '/permissive-' mode (fixes [#6230]) @Zhaojun-Liu (#6232)
  • [R-package] [c++] add tighter multithreading control, avoid global OpenMP side effects (fixes [#4705], fixes [#5102]) @jameslamb (#6226)
  • [python-package] take shallow copy of dataframe in predict (fixes [#6195]) @jmoralez (#6218)
  • Fix null handling for Arrow data @borchero (#6227)
  • [R-package] use safer pattern for error formatting (fixes [#6212]) @jameslamb (#6216)
  • [python-package] fix libpath.py @shiyu1994 (#6192)
  • set explicit number of threads in every OpenMP parallel region @jameslamb (#6135)
  • ignore unknown parameters when loading from model file @jmoralez (#6126)
  • [python-package] [R-package] include more params in model text representation (fixes [#6010]) @jameslamb (#6077)
  • [fix] fix quantized training (fixes [#5982]) (fixes [#5994]) @shiyu1994 (#6092)
  • [python-package] Fix misdetected objective after multiple calls to LGBMClassifier.fit @david-cortes (#6002)

📖 Documentation

  • [docs] remove links to Laurae++ site @jameslamb (#6193)
  • [docs] reduce redirects in docs links @jameslamb (#6181)
  • [docs] fix broken links @jameslamb (#6161)

🧰 Maintenance

  • release v4.2.0 @jameslamb (#6191)
  • [ci] [R-package] allow more possibly-lost warnings from valgrind @jameslamb (#6233)
  • [ci] Upgrade Azure VMSS to use Mariner Linux @shiyu1994 (#6222)
  • Add msvc conformance check @Zhaojun-Liu (#6234)
  • [python-package] Add tests for passing Arrow arrays with empty chunks @borchero (#6210)
  • [R-package] change CRAN maintainer @jameslamb (#6224)
  • [CUDA] fix typo in error message @jameslamb (#6207)
  • [python-package] ignore mypy errors related to ctypes string buffers @jameslamb (#6198)
  • [python-package] consolidate pandas-to-numpy conversion code @jameslamb (#6156)
  • [R-package] standardize naming of internal functions @jameslamb (#6179)
  • [R-package] remove unreachable code @jameslamb (#6180)
  • allow new files in include/LightGBM @jameslamb (#6177)
  • [R-package] Use cat() instead of print() for metrics and callbacks @david-cortes (#6171)
  • [ci] resolve warning in tests @jameslamb (#6154)
  • [ci] use mamba instead of conda in macOS and Linux CI jobs @borchero (#6140)
  • factor out uses of omp_get_num_threads() and omp_get_max_threads() outside of OpenMP wrapper @jameslamb (#6133)
  • remove unnecessary allocations in HistogramSumReducer @jameslamb (#6132)
  • [ci] [R-package] enforce more {lintr} checks @jameslamb (#6130)
  • fix compiler warnings for CPP tests @jameslamb (#6124)
  • [ci] [R-package] test against R 4.3 on Windows @jameslamb (#6061)
  • [python-package] reorganize early stopping callback @jameslamb (#6114)
  • [python-package] simplify Dataset._compare_params_for_warning() @jameslamb (#6120)
  • [ci] fix sh-compatibility issue in build-cran-package.sh @jameslamb (#6118)
  • [python-package] remove unnecessary allocations in ctypes code @jameslamb (#6111)
  • [python-package] fix mypy errors in Dataset construction @jameslamb (#6106)
  • [ci] ensure correct R version is used on GitHub Actions (fixes [#5640]) @jameslamb (#6107)
  • [python-package] fix mypy error about eval result tuples @jameslamb (#6105)
  • [python-package] fix mypy error from Dataset.pandas_categorical @jameslamb (#6098)
  • [ci] Fix typo in dependencies @borchero (#6100)
  • [python-package] fix mypy errors related to eval result parsing in callbacks @jameslamb (#6096)
  • [python-package] mark EarlyStopException as part of public API @jameslamb (#6095)
  • [python-package] fix mypy errors related to eval result tuples @jameslamb (#6097)
  • update to fmt 10.1.1, fast_double_parser 0.7.0 @jameslamb (#6074)
Source: README.md, updated 2023-12-21